Travelled to:
1 × China
1 × Ireland
1 × Russia
1 × The Netherlands
1 × USA
Collaborated with:
D.Hiemstra D.Nguyen D.Trieschnigg C.Develder R.Aly K.Zhou L.Sterckx J.Deleu L.Mertens
Talks about:
search (3) relev (2) feder (2) unsupervis (1) distribut (1) snippet (1) qualiti (1) predict (1) collect (1) vertic (1)
Person: Thomas Demeester
DBLP: Demeester:Thomas
Contributed to:
Wrote 5 papers:
- CIKM-2014-ZhouDNHT
- Aligning Vertical Collection Relevance with User Intent (KZ, TD, DN, DH, DT), pp. 1915–1918.
- ECIR-2014-SterckxDDMD #quality #topic
- Assessing Quality of Unsupervised Topics in Song Lyrics (LS, TD, JD, LM, CD), pp. 547–552.
- ECIR-2013-DemeesterNTDH #predict #web
- Snippet-Based Relevance Predictions for Federated Web Search (TD, DN, DT, CD, DH), pp. 697–700.
- SIGIR-2013-AlyHD #named #using
- Taily: shard selection using the tail of score distributions (RA, DH, TD), pp. 673–682.
- CIKM-2012-NguyenDTH #power of
- Federated search in the wild: the combined power of over a hundred search engines (DN, TD, DT, DH), pp. 1874–1878.